Data Science and Machine Learning Essentials: Course by Microsoft

Microsoft conducts online course on 'Data Science and Machine Learning Essentials'. The course focuses on key concepts of data science and machine learning with examples on how to build a cloud data science solution with R, Python and Azure Machine Learning from the Cortana Analytics Suite.

About the Course:

The course enables you to know how to build and derive insights from data science and machine learning models. During the course you will learn The data science process, Overview of data science theory, Data acquisition, ingestion, sampling, quantization, cleaning and transformation, Building data science workflows with Azure ML, Data science tools including R, Python and SQL, Data exploration and visualization, Building and evaluating machine learning models, Publishing machine learning models with the Azure ML.

Course Syllabus:

Module I Introduction

Introduction to Data Science

Overview of the Data Science process

Introduction to Data Science technologies

Introduction to Machine Learning

Regressions

Classification

Clustering

Recommendation

Module 2: Working with Data in Azure ML

Data Acquisition

Data Ingestion and Ingress

Data Sampling and Quantization

Data Cleaning and Transformation

Module 3: Building and Evaluation of Models

Data Exploration and Visualization

Business Metrics and Cost-Based Metrics

Model Evaluation, Comparison and Selection

Module 4: Models in Azure ML, Part 1

Regression Models

Classification Models

Unsupervised Learning Models

Module 5: Models in Azure ML, Part 2

Recommendation Models

Publishing AML Models

Course Exam

Prerequisites:

Candidates should have basic knowledge of mathematics, including linear algebra and programming experience either in R or Python is preferred.